Building real-time routing, tracking and predictive inventory systems to optimize global freight and warehouse operations.
Global supply chains demand absolute visibility, rapid exception handling and seamless B2B data exchange.
We engineer robust data pipelines and IoT integrations that track assets in real-time, automate warehouse operations and optimize fleet routing.
The logistics industry operates on highly fragmented data standards, relying heavily on outdated EDI protocols and isolated fleet tracking systems.
Modern engineering requires aggregating these disparate data streams into a single source of truth for predictive modeling and automated dispatch.
Inability to track inventory accurately across multi-modal transit networks.
Static routing algorithms failing to account for real-world delays, weather, or capacity constraints.
Manual picking and slow inventory reconciliation impacting fulfillment speeds.
Extensive reliance on rigid, slow EDI file transfers for partner communication.
Managing millions of real-time telemetry events from GPS trackers and RFID scanners.
Aggregating timestamps, geolocations and telemetry from entirely different proprietary vendor APIs.
Ensuring warehouse scanners and fleet terminals function when cellular or Wi-Fi drops.
Ingesting GPS and vehicle health data via MQTT to optimize dispatching and maintenance.
Automated compliance alerting when IoT temperature sensors detect threshold breaches during transit.
Building translation layers that convert slow EDI batch files into real-time webhook events.
IoT ingestion architectures must employ extreme horizontal scalability (e.g., Kafka) to handle sudden spikes in telemetry data.
Mobile and warehouse applications must utilize offline-first data sync patterns to handle dead zones.
Environments are distributed across vast geographies, relying on localized WMS installations and cloud-based TMS platforms., B2B transactions are dominated by legacy EDI infrastructure, while physical assets are tracked via fragmented RFID and GPS point-solutions.
EDI, GPS / Telematics, Fleet Management, WMS, Carrier APIs, RFID Scanners
Customs Trade Acts, ISO 28000, FSMA (Cold Chain Food Safety)
EDI (X12 / EDIFACT), MQTT, REST / GraphQL
We build middleware that consumes EDI files, parses them and exposes them internally as modern REST or GraphQL APIs.
Yes. We ingest time-series data from temperature sensors and build automated reporting pipelines that prove compliance.
Architecting Data Engineering & Analytics solutions for core workflows.
Architecting Software Engineering & Architecture solutions for core workflows.
Architecting Cloud & Infrastructure Engineering solutions for core workflows.
Scale workloads on managed Event Streaming & Messaging pools.
Scale workloads on managed Compute & Application Hosting pools.
Scale workloads on managed Edge Delivery & CDN pools.
Scale workloads on managed Immutable Ledgers & Enterprise Blockchain pools.
Skip the generic sales calls. Speak directly with a KryoNex Solutions Architect to map your current architecture, identify engineering bottlenecks and design a scalable path forward.
Review your current tech stack and bounded contexts with a senior engineer.
Establish realistic milestones, engineering phases and capacity requirements.